2020 Salary Survey: Data Exploration

Executive Summary

Respondent Charateristics

Demographic Information

Gender

What is your gender identity?

	Proportion	N
Cis woman	49%	297
Cis man	43%	259
Gender non-binary or non-conforming	5%	33
Trans man	1%	5
Different gender identity, prefer to specify	1%	4
Trans woman	0%	2
Prefer not to answer	1%	8

Race / Ethnicity

What is your race / ethnicity? Please select all that apply.

	Proportion	N
White	64%	390
Asian or Asian American (including South Asian)	13%	77
Multi-Racial	10%	63
Hispanic or Latinx	5%	33
Black	5%	30
Prefer not to answer	1%	6
Middle Eastern	1%	5
Other	0%	3
Native American	0%	1

Immigration Status

How long have you or your family lived in the United States?

	Proportion	N
I’m the first generation in the United States	11%	67
One or more of my parents immigrated to the United States	20%	120
One or more of my grandparents immigrated to the United States	16%	95
My family has been in the United States for 3 generations or more	52%	314
None of the above	1%	9
Prefer not to answer	0%	3

Age

2020 - What is your year (YYYY) of birth?

	Proportion	N
20-24	10%	60
25-29	36%	221
30-34	28%	170
35-39	16%	96
40-44	6%	35
45-49	2%	12
50-54	2%	11
55-59	0%	2
60+	0%	1

Sexuality

Do you consider yourself to be …?

	Proportion	N
Heterosexual/straight	62%	379
Bisexual	14%	86
Queer	10%	63
Gay or Lesbian	9%	53
Different identity, prefer to specify	1%	6
Prefer not to answer	3%	21

Disability

Do you identify as a disabled? You are considered to have a disability if you have a physical or mental impairment or medical condition that substantially limits a major life activity, or if you have a history or record of such an impairment or medical condition.

	Proportion	N
Yes, I have or previously had a disability	15%	90
No, I don’t have a disability	80%	484
Other	2%	12
Prefer not to answer	4%	22

Military Status

Are you a member of the military or a veteran?

	Proportion	N
Yes, Reserve/National Guard	0%	2
Yes, Veteran	1%	5
No	98%	598
Prefer not to answer	0%	3

Education

What is the highest level of education that you have completed?

	Proportion	N
High School Diploma or GED	3%	17
Associate’s Degree	1%	4
Bachelor’s Degree	57%	344
Post-bachelor’s Work, no Higher Degree	7%	45
Master’s or Professional Degree (MA, MPP, JD, etc.)	28%	172
Doctoral Degree (PhD)	4%	23
Other	0%	2
Prefer not to answer	0%	1

Geography

Country

What country do you live in?

	Proportion	N
United States	99%	603
Australia	0%	1
Canada	0%	1
France	0%	1
Spain	0%	1
Turkey	0%	1

Area

What’s your zip code? [only asked to US respondents, responses coded to Census metropolitan areas]

	Proportion	N
Washington-Arlington-Alexandria, DC-VA-MD-WV	35%	214
New York-Newark-Jersey City, NY-NJ-PA	8%	51
Chicago-Naperville-Elgin, IL-IN-WI	6%	39
Boston-Cambridge-Newton, MA-NH	4%	26
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD	3%	21
San Francisco-Oakland-Berkeley, CA	3%	20
Los Angeles-Long Beach-Anaheim, CA	2%	14
Seattle-Tacoma-Bellevue, WA	2%	13
Austin-Round Rock-Georgetown, TX	2%	11
Atlanta-Sandy Springs-Alpharetta, GA	2%	10
Denver-Aurora-Lakewood, CO	1%	9
Baltimore-Columbia-Towson, MD	1%	8
Minneapolis-St. Paul-Bloomington, MN-WI	1%	8
Raleigh-Cary, NC	1%	8
Sacramento-Roseville-Folsom, CA	1%	6
Detroit-Warren-Dearborn, MI	1%	5
Phoenix-Mesa-Chandler, AZ	1%	5
Other (less than 5 people in metro area)	20%	122
Missing	3%	18

Work Experience

Politics & Data

How many years of work experience do you have in progressive politics and in data, analytics, and technology (i.e., how many years have you been a progressive data, analytics, or technology practitioner)?

Politics, Not Data

How many years of work experience do you have in progressive politics but not in data, analytics, and technology (i.e., exclude any years worked in data, analytics, and technology)?

Data, Not Politics

How many years of work experience do you have in data, analytics, and technology but not in progressive politics (i.e., exclude any years worked in progressive politics)?

Total

Employment Status

Current Status

What is your current employment status (as of January 2021)?

	Proportion	N
Full-time at one or more jobs	82%	500
Unemployed	11%	64
Freelance / contracting / self-employed	8%	49
In school	1%	8
Part-time at one or more jobs	1%	5
Other	0%	0

During 2020 election cycle

What was your employment status during the 2020 election cycle?

	Proportion	N
Full-time at one or more jobs	96%	585
Freelance / contracting / self-employed	7%	41
In school	2%	13
Part-time at one or more jobs	1%	8
Other	0%	1
Unemployed	0%	0

Involvement in Data/Analytics/Tech

• Is the primary focus (>40% of resources) of your organization data, analytics, or technology?
• Is the primary focus (>40% of resources) of your team data, analytics, or technology?
• Is the primary focus (>40% of time) of your role data, analytics or technology?

Job Characteristics

Organization Type

How would you describe the organization?

	Proportion	N
Analytics / Polling firm	18%	110
Issue or advocacy organization	17%	101
Vendor (i.e. technology vendor)	13%	82
Political campaign	9%	57
Non-issue-specific Independent Expenditure group (i.e. Super PAC or c4 organization)	9%	56
Party committee	8%	49
Labor union	7%	44
Other consulting firm (media, field, digital, etc.)	7%	42
Government agency, contractor, or related employer	4%	25
Other	7%	42

Primary Job Function

What is your primary job function? If in management, please indicate the primary job function of your team.

	Proportion	N
General analytics or data science	22%	135
General data management and reporting	19%	114
Field / grassroots-focused data (e.g. VAN admin)	11%	68
Data infrastructure and processing	10%	59
Engineering / software development	9%	54
Polling and Research	7%	42
Consulting / client relations	7%	40
Product / Project management	6%	37
Digital data and analytics	3%	19
Development / fundraising-focused data	2%	11
Other	5%	29

Seniority

How would you describe your level of seniority within the organization?

Overall

	Proportion	N
Entry-Level	15%	90
Mid-Level	41%	249
Senior-Level, but not Department Head	21%	129
Department Head	16%	98
Organization Head, President or C-Level	5%	29
Other	0%	2
Freelance	2%	11

By Gender

	All (n = 608)	Cis man (n = 259)	Non-Cis man (n = 341)
Entry-Level	15%	12%	17%
Mid-Level	41%	38%	43%
Senior-Level, but not Department Head	21%	24%	19%
Department Head	16%	19%	13%
Organization Head, President or C-Level	5%	5%	5%
Other	0%	0%	0%
Freelance	2%	1%	2%

By Race

	All (n = 608)	Asian or Asian American (including South Asian) (n = 77)	Black (n = 30)	Hispanic or Latinx (n = 33)	Multi-Racial (n = 63)	White (n = 390)
Entry-Level	15%	22%	23%	18%	14%	13%
Mid-Level	41%	53%	53%	52%	40%	37%
Senior-Level, but not Department Head	21%	8%	7%	12%	16%	26%
Department Head	16%	16%	13%	15%	13%	17%
Organization Head, President or C-Level	5%	1%	NA	NA	11%	5%
Other	0%	NA	NA	NA	2%	0%
Freelance	2%	NA	3%	3%	5%	2%

By Race (Binned)

	All (n = 608)	POC/Other (n = 212)	White (n = 390)
Entry-Level	15%	19%	13%
Mid-Level	41%	48%	37%
Senior-Level, but not Department Head	21%	12%	26%
Department Head	16%	15%	17%
Organization Head, President or C-Level	5%	4%	5%
Other	0%	0%	0%
Freelance	2%	2%	2%

By Gender x Race (Binned)

TODO: Figure out why proportion bars for ‘POC/Other | Cis man (n = 85)’ and ‘White | Non-Cis man (n = 214)’ are off. Probably beccause NA values. Olivia note 4/11 – this seems to be fixed with my edit to the cat_cross.R function, not sure why yet

	All (n = 608)	POC/Other | Cis man (n = 85)	POC/Other | Non-Cis man (n = 126)	White | Cis man (n = 173)	White | Non-Cis man (n = 214)
Entry-Level	15%	16%	21%	10%	14%
Mid-Level	41%	44%	51%	35%	39%
Senior-Level, but not Department Head	21%	13%	11%	30%	24%
Department Head	16%	20%	10%	18%	15%
Organization Head, President or C-Level	5%	6%	3%	5%	6%
Other	0%	NA	1%	1%	NA
Freelance	2%	1%	3%	1%	2%

Management

How many staffers do you manage? Please include everyone who reports “up the chain” to you, both directly or through layer(s) of management.

Overall

	Proportion	N
0 staffers	61%	370
1-4 staffers	26%	156
5-9 staffers	8%	46
10-14 staffers	2%	14
More than 15 staffers	4%	22

By Gender

	All (n = 608)	Cis man (n = 259)	Non-Cis man (n = 341)
0 staffers	61%	62%	60%
1-4 staffers	26%	25%	26%
5-9 staffers	8%	8%	7%
10-14 staffers	2%	1%	3%
More than 15 staffers	4%	4%	3%

By Race

	All (n = 608)	Asian or Asian American (including South Asian) (n = 77)	Black (n = 30)	Hispanic or Latinx (n = 33)	Multi-Racial (n = 63)	White (n = 390)
0 staffers	61%	71%	73%	70%	54%	58%
1-4 staffers	26%	18%	23%	15%	33%	27%
5-9 staffers	8%	6%	3%	9%	6%	8%
10-14 staffers	2%	NA	NA	3%	3%	3%
More than 15 staffers	4%	4%	NA	3%	3%	4%

By Race (Binned)

	All (n = 608)	POC/Other (n = 212)	White (n = 390)
0 staffers	61%	66%	58%
1-4 staffers	26%	23%	27%
5-9 staffers	8%	6%	8%
10-14 staffers	2%	1%	3%
More than 15 staffers	4%	3%	4%

By Gender x Race (Binned)

	All (n = 608)	POC/Other | Cis man (n = 85)	POC/Other | Non-Cis man (n = 126)	White | Cis man (n = 173)	White | Non-Cis man (n = 214)
0 staffers	61%	67%	66%	59%	57%
1-4 staffers	26%	20%	25%	28%	26%
5-9 staffers	8%	6%	6%	9%	8%
10-14 staffers	2%	1%	1%	1%	4%
More than 15 staffers	4%	6%	2%	3%	4%

Time Writing Code

What percentage of your time do you spend directly conducting analysis or writing code - as opposed to other work such as communicating with external partners or managing staff?

Overall

By Seniority

By Job Type

Skills + Tools

Tools

How comfortable are you with the following skills and tools?

• Never used this before: Maybe you’ve heard of this tool, but you’ve never used it directly in or outside of work
• Introductory: You have maybe read about it or completed a tutorial, but you haven’t used this in a major project
• Novice: You’ve used this a few times or use it at work, but you’re still learning how it works
• Intermediate: You feel comfortable using this tool on your own
• Advanced: You are at home using this tool, are comfortable teaching or QCing others, or could lead a training on this topic

Skill Level

This graph displays the full distribution of responses to skill level. Responses are ordered by the proportion of respondents who rate themselves as having intermediate or advanced skills.

working on fixing graph

Skills

Which of the following items have you personally done in the last year? Please select all that apply.

Technical

	Proportion	N
Transform data and generate reports with SQL	74%	452
Create voter contact universes (field, mail, digital, paid media, etc.)	59%	359
Build data pipelines via API endpoints or other scripting	41%	249
Design, implement, and analyze an experiment (field, survey, digital, etc.)	38%	234
Run regressions and other analysis using a statistical package	34%	209
Manage the development of a software product	27%	166
Write, field, and analyze a poll for your organization or clients	25%	152
Build a predictive model (turnout, support, issue, action, etc).	24%	145
Set up a server, deploy code to a production environment, or other DevOps work	21%	126
Write code for a large-scale software project, such as a web application	20%	123
None of the above	5%	31

Management

	Proportion	N
Manage and review others’ analysis or work	70%	428
Present the results of a poll, experiment, model, or another analysis for non-technical leadership	59%	360
Pitch a project to a funder or member of senior leadership	39%	238
Hire or fire staff	36%	218
Coordinate a group of organizations to coordinate or collaborate on program	34%	207
Create a professional development plan for others	23%	142
None of the above	13%	79

Learn

How did you learn the skills and tools you use weekly for your job? Please pick your top two options

	Proportion	N
Self-taught in a job	78%	475
Taught by others in a job	44%	265
Learned in a formal education setting	30%	181
Learned in a training or bootcamp	21%	129
Self-taught outside of a job	20%	123
Taught by others outside of a job	2%	12

Free Text

Please describe any other major components of your work.

df$work_compenents_freetext[!is.na(df$work_compenents_freetext)] %>% dplyr::tibble()

Salary Overview

In US Dollars, what is your total expected annual pre-tax income, including bonuses or commissions? This figure may be salaried or unsalaried.

Category	N	Mean	Median
All	608	$94,571	$88,000

Salary Distribution

	Proportion	N
Under $45,000	3%	16
$45,000 to $49,999	1%	9
$50,000 to $54,999	4%	25
$55,000 to $59,999	3%	21
$60,000 to $64,999	6%	35
$65,000 to $69,999	6%	34
$70,000 to $74,999	7%	44
$75,000 to $79,999	6%	36
$80,000 to $84,999	6%	37
$85,000 to $89,999	9%	56
$90,000 to $94,999	6%	37
$95,000 to $99,999	5%	31
$100,000 to $104,999	6%	34
$105,000 to $109,999	4%	26
$110,000 to $114,999	4%	22
$115,000 to $119,999	3%	17
$120,000 to $124,999	3%	21
$125,000 to $129,999	2%	15
$130,000 to $134,999	2%	13
$135,000 to $139,999	1%	5
$140,000 to $144,999	2%	10
$145,000 to $149,999	2%	11
$150,000 to $154,999	2%	11
$155,000 to $159,999	1%	6
$160,000 to $164,999	1%	8
$165,000 to $169,999	1%	4
$170,000 to $174,999	1%	4
$175,000 to $179,999	1%	4
$180,000 to $184,999	0%	1
$185,000 to $189,999	0%	1
$190,000 to $194,999	0%	1
$200,000+	2%	13

Benefits

Which of the following benefits are you personally eligible for? Select all that apply.

	Proportion	N
Health insurance	92%	557
Paid vacation days	90%	550
Paid sick days	87%	528
Retirement plan (401(k), 403(b), IRA, etc.)	75%	456
Paid parental leave	60%	362
Ability to work remotely (pre pandemic)	50%	304
Cell phone and/or internet reimbursement	49%	296
Continuing education / professional development	45%	274
Other	14%	83
Pension	10%	58
Stock / Equity in organization	6%	36
Day care	3%	21
None of the above	3%	17

Negotiation

Try Negotiate

During your last job offer or performance review, did you try to negotiate your salary?

Overall

	Proportion	N
Yes	36%	219
No	51%	310
Not applicable (union, freelancer, etc.)	13%	79

By Gender

	All (n = 608)	Cis man (n = 259)	Non-Cis man (n = 341)
Yes	36%	36%	36%
No	51%	51%	51%
Not applicable (union, freelancer, etc.)	13%	14%	13%

By Race (Binned)

	All (n = 608)	POC/Other (n = 212)	White (n = 390)
Yes	36%	40%	34%
No	51%	47%	53%
Not applicable (union, freelancer, etc.)	13%	13%	13%

By Gender x Race (Binned)

	All (n = 608)	POC/Other | Cis man (n = 85)	POC/Other | Non-Cis man (n = 126)	White | Cis man (n = 173)	White | Non-Cis man (n = 214)
Yes	36%	44%	38%	32%	36%
No	51%	44%	49%	54%	52%
Not applicable (union, freelancer, etc.)	13%	13%	13%	14%	13%

Negotiation Successful

Was your negotiation successful? Please select all that apply. [only asked to respondents who attempted a negotiation]

Overall

	Proportion	N
Yes, I increased my benefits	6%	14
Yes, I increased my compensation	74%	161
Yes, I improved my title	18%	39
No, I did not gain improved compensation, benefits or title	24%	52

By Gender

	All (n = 219)	Cis man (n = 92)	Non-Cis man (n = 124)
No, I did not gain improved compensation, benefits or title	24%	20%	27%
Yes, I improved my title	18%	24%	13%
Yes, I increased my benefits	6%	7%	6%
Yes, I increased my compensation	74%	77%	70%

By Race

	All (n = 219)	POC/Other (n = 85)	White (n = 133)
No, I did not gain improved compensation, benefits or title	24%	27%	22%
Yes, I improved my title	18%	18%	17%
Yes, I increased my benefits	6%	6%	6%
Yes, I increased my compensation	74%	72%	74%

By Gender x Race

	All (n = 219)	POC/Other | Cis man (n = 37)	POC/Other | Non-Cis man (n = 48)	White | Cis man (n = 55)	White | Non-Cis man (n = 76)
No, I did not gain improved compensation, benefits or title	24%	22%	31%	18%	25%
Yes, I improved my title	18%	22%	15%	25%	12%
Yes, I increased my benefits	6%	3%	8%	9%	4%
Yes, I increased my compensation	74%	76%	69%	78%	71%

Professional Development

Opportunity

Does your employer offer any career development opportunities?

	Proportion	N
Yes	50%	302
Yes, but I am not eligible	3%	16
No	23%	140
Not sure	25%	150

Available

What types of employer-funded professional development opportunities are available to you? Please select all that apply. [only asked to respondents who are offered career development opportunities]

	Proportion	N
Attending a conference or similar event	81%	244
Attending off-site trainings	67%	202
Buying books or other training materials	62%	187
Presenting on a work project at a conference or similar event	56%	170
One-on-one or small group training on work time	49%	148
Receiving a professional certification	44%	132
Other professional development resources not mentioned above	30%	92
Tuition reimbursement	27%	81

Used

Which of these professional development opportunities have you used? Please select all that apply. [only asked to respondents who are offered career development opportunities]

	Proportion	N
Attending a conference or similar event	56%	166
Attending off-site trainings	34%	100
Buying books or other training materials	33%	99
Presenting on a work project at a conference or similar event	27%	79
One-on-one or small group training on work time	27%	79
Haven’t used any	16%	49
Other professional development resources not mentioned above	14%	41
Receiving a professional certification	11%	32
Tuition reimbursement	6%	18

Free Text

TO DO condense options in free text

Thinking about your career path and focus, which one specific skill or tool do you most want to learn?

# order by count
as.data.frame(table(df$skill_to_learn)) %>% dplyr::arrange(desc(Freq)) %>% top_n(20)

## Selecting by Freq

df$skill_to_learn[!is.na(df$skill_to_learn)] %>% dplyr::tibble()

Salary Crosstabs

In all of the following crosstabs, salary information is excluded for groups with fewer than 5 people.

Respondent Characteristics

Gender

Category	N	Mean	Median
Non-Cis man	341	$92,891	$87,000
Cis man	259	$96,093	$90,000
Prefer not to answer	8	$116,920	$112,500

Gender (Binned)

Category	N	Mean	Median
Cisgender	259	$96,093	$90,000
Trans or NonBinary	44	$79,712	$72,250
Prefer not to answer	8	$116,920	$112,500

Race / Ethnicity

Category	N	Mean	Median
White	390	$96,928	$90,000
Asian or Asian American (including South Asian)	77	$92,795	$88,000
Multi-Racial	63	$95,129	$90,708
Hispanic or Latinx	33	$79,920	$78,000
Black	30	$78,179	$73,500
Prefer not to answer	6	$115,000	$105,000

Race / Ethnicity (Binned)

Category	N	Mean	Median
White	390	$96,928	$90,000
POC/Other	212	$89,658	$85,000
Prefer not to answer	6	$115,000	$105,000

Gender x Race / Ethnicity

Category	N	Mean	Median
White | Non-Cis man	214	$94,891	$88,000
White | Cis man	173	$99,623	$92,000
POC/Other | Non-Cis man	126	$89,477	$83,750
POC/Other | Cis man	85	$88,922	$87,600

Age

Category	N	Mean	Median
20-24	60	$64,876	$65,000
25-29	221	$84,931	$84,000
30-34	170	$101,764	$100,000
35-39	96	$107,428	$98,000
40-44	35	$129,300	$122,000
45-49	12	$111,591	$91,047
50-54	11	$95,691	$92,000

Sexuality

Category	N	Mean	Median
Heterosexual/straight	379	$95,603	$90,000
Bisexual	86	$93,958	$85,000
Queer	63	$85,195	$75,000
Gay or Lesbian	53	$102,696	$97,000
Prefer not to answer	21	$90,762	$87,000
Different identity, prefer to specify	6	$78,225	$92,175

Sexuality (Binned)

Category	N	Mean	Median
Heterosexual	379	$95,603	$90,000
Queer	208	$93,077	$85,000
Prefer not to answer	21	$90,762	$87,000

Disability

Category	N	Mean	Median
Yes, I have or previously had a disability	90	$87,787	$76,938
No, I don’t have a disability	484	$95,945	$89,500
Other	12	$81,113	$80,000
Prefer not to answer	22	$99,450	$95,000

Education

Category	N	Mean	Median
High School Diploma or GED	17	$95,102	$90,000
Bachelor’s Degree	344	$90,533	$85,000
Post-bachelor’s Work, no Higher Degree	45	$96,406	$89,000
Master’s or Professional Degree (MA, MPP, JD, etc.)	172	$98,604	$91,500
Doctoral Degree (PhD)	23	$117,217	$105,000

Work Experience

Job Characteristics

Organization

Category	N	Mean	Median
Analytics / Polling firm	110	$96,428	$89,500
Issue or advocacy organization	101	$82,552	$80,000
Vendor (i.e. technology vendor)	82	$106,450	$98,500
Political campaign	57	$82,671	$85,000
Non-issue-specific Independent Expenditure group (i.e. Super PAC or c4 organization)	56	$87,804	$82,000
Party committee	49	$86,819	$80,000
Labor union	44	$99,886	$100,725
Other	42	$102,587	$90,354
Other consulting firm (media, field, digital, etc.)	42	$109,044	$100,000
Government agency, contractor, or related employer	25	$106,350	$100,000

Seniority

Category	N	Mean	Median
Entry-Level	90	$69,269	$68,250
Mid-Level	249	$83,822	$82,000
Senior-Level, but not Department Head	129	$106,929	$105,000
Department Head	98	$115,594	$113,250
Organization Head, President or C-Level	29	$136,810	$140,000
Freelance	11	$95,348	$90,708

Seniority Binned ( entry / mid / senior)

MOVE TO APPENDIX

Category	N	Mean	Median
Entry-Level	90	$69,269	$68,250
Mid-Level	249	$83,822	$82,000
Senior-Level	256	$113,631	$110,000
Freelance	11	$95,348	$90,708

Management

Category	N	Mean	Median
0 staffers	370	$84,926	$80,000
1-4 staffers	156	$103,065	$98,000
5-9 staffers	46	$111,946	$102,648
10-14 staffers	14	$136,384	$134,185
More than 15 staffers	22	$133,625	$134,125

Management Binned (0 staff, 1- 4, and >=5)

MOVE TO APPENDIX

Category	N	Mean	Median
0 staffers	370	$84,926	$80,000
1-4 staffers	156	$103,065	$98,000
5+ staffers	82	$121,934	$120,000

Primary Job Function

Category	N	Mean	Median
General analytics or data science	135	$99,666	$93,000
General data management and reporting	114	$82,187	$75,956
Field / grassroots-focused data (e.g. VAN admin)	68	$71,067	$71,000
Data infrastructure and processing	59	$91,433	$86,500
Engineering / software development	54	$114,526	$112,000
Polling and Research	42	$94,798	$90,000
Consulting / client relations	40	$112,291	$101,350
Product / Project management	37	$105,097	$105,000
Other	29	$114,205	$108,000
Digital data and analytics	19	$90,554	$85,000
Development / fundraising-focused data	11	$79,030	$80,000

Career Plans

Next Steps

Which of the following most accurately describes the next step you would like to take to advance your career? Please select all that apply.

	Proportion	N
Learn new skills or tools related to data, analytics, and technology	58%	353
Move into management or a more senior management role	41%	247
Work on more interesting/important projects as an individual contributor (i.e., not a manager)	32%	197
Stay in a similar role but move to another organization	29%	179
I’m happy where I am	16%	95
Leave the progressive/Democratic space	14%	87
Stay in the progressive/Democratic space but move out of data, analytics, and technology	10%	61
Start my own organization	7%	44
Other	5%	30

Plans to Leave

MOVE CROSSTABS TO APPENDIX

Overall

Are you planning to leave your organization within the next year?

	Proportion	N
I plan to actively look for new opportunities	19%	118
I might leave, but I’m not sure	22%	133
I’m not planning to leave	38%	228
My current job / contract ends within the next 12 months	9%	52
I am currently unemployed	13%	77

By Gender

	All (n = 608)	Cis man (n = 259)	Non-Cis man (n = 341)
I plan to actively look for new opportunities	19%	18%	20%
I might leave, but I’m not sure	22%	23%	20%
I’m not planning to leave	38%	35%	40%
My current job / contract ends within the next 12 months	9%	8%	9%
I am currently unemployed	13%	15%	11%

By Race

	All (n = 608)	Asian or Asian American (including South Asian) (n = 77)	Black (n = 30)	Hispanic or Latinx (n = 33)	Multi-Racial (n = 63)	White (n = 390)
I plan to actively look for new opportunities	19%	23%	20%	15%	16%	19%
I might leave, but I’m not sure	22%	18%	27%	30%	16%	23%
I’m not planning to leave	38%	32%	37%	24%	43%	39%
My current job / contract ends within the next 12 months	9%	9%	7%	18%	10%	8%
I am currently unemployed	13%	17%	10%	12%	16%	12%

By Race Bin

	All (n = 608)	POC/Other (n = 212)	White (n = 390)
I plan to actively look for new opportunities	19%	20%	19%
I might leave, but I’m not sure	22%	20%	23%
I’m not planning to leave	38%	34%	39%
My current job / contract ends within the next 12 months	9%	10%	8%
I am currently unemployed	13%	15%	12%

By Gender x Race

	All (n = 608)	POC/Other | Cis man (n = 85)	POC/Other | Non-Cis man (n = 126)	White | Cis man (n = 173)	White | Non-Cis man (n = 214)
I plan to actively look for new opportunities	19%	13%	25%	21%	17%
I might leave, but I’m not sure	22%	26%	16%	21%	22%
I’m not planning to leave	38%	27%	39%	39%	41%
My current job / contract ends within the next 12 months	9%	12%	10%	7%	8%
I am currently unemployed	13%	22%	10%	12%	11%

Why leaving

If you were to leave the progressive/Democratic data space in the next year, what would lead to that decision? Please select your top two reasons.

	Proportion	N
Better paying job	39%	239
Better work/life balance	27%	162
Stagnated or feel like there isn’t a clear next step in your career	26%	158
Better opportunities to learn and grow in other fields	24%	146
Burned out	22%	135
More job and/or pay stability	15%	89
Going back to school/other further education options	12%	74
Hostile workplace environment(s)	7%	43
Prefer not to answer	6%	36
Better benefits	5%	30

Expect to be in one year

Where do you want or expect to be working a year from now? Select all that apply. [only asked to respondents who are either looking for new opportunities, might leave, on a job / contract that ends within the next 12 months, or currently unemployed]

	Proportion	N
Issue or advocacy organization	51%	194
Analytics / Polling firm	37%	139
Government	32%	120
Vendor (i.e. technology vendor)	29%	110
Political campaign	28%	108
Other consulting firm (media, field, digital, etc)	26%	100
Non-issue-specific Independent Expenditure group (i.e. PAC or c4 organization)	26%	100
Labor union	24%	90
Other	23%	89
Party committee	17%	64
In school	11%	43

Covid

Additional Benefits

Regardless of whether you were eligible, did your employer offer any additional benefits due to the COVID-19 pandemic?

	Proportion	N
Yes	59%	359
No	26%	159
Unsure	15%	90

Benefits Offered

What sort of benefits were offered/provided? Please select all that apply. [only asked to respondents whose organizations offered any additional benefits due to the COVID-19 pandemic]

	Proportion	N
Ability to work remotely	87%	314
Flexible work hours/schedules	63%	226
Additional paid leave and/or all staff office closures (mental health days)	55%	196
Additional mindfulness and/or mental health benefits	45%	161
Monthly stipends (or increased value of existing stipends) for cell phone, internet services, or home office needs	39%	141
Other	13%	45
New or additional child care benefits	12%	42

Free Text

Please briefly describe how your organization handled the COVID-19 pandemic to make things easier for staff.

df$covid_freetext[!is.na(df$covid_freetext)] %>% dplyr::tibble()

TODO

Union

Is Unionized?

Is your organization unionized or does it have one or more recognized bargaining units?

	Proportion	N
Yes	26%	159
No	69%	418
Unsure	5%	31

Union Member?

Are you a member of the union/bargaining unit? [only asked to respondents whose organization is unionized or has one or more recognized bargaining units]

	Proportion	N
Yes	46%	73
No, do not qualify for membership	53%	84
Unsure	1%	2

Date of Unionization

When did your organization unionize? [only asked to respondents whose organization is unionized or has one or more recognized bargaining units]

	Proportion	N
Within the past two years	47%	74
In the past two to five years	6%	10
More than five years ago	34%	54
I’m not sure	13%	21

Notes

Eligibility

Respondents were only eligible to take this survey if (1) they worked in progressive politics AND (2) if their organization, role, or team focused on data, analytics, or technology.

Respondents satisfied the first criteria if they answered “Yes” or “Did but employment ended post-election” to the following question:

• Do you currently work at an organization that either works in progressive politics or has some clients who work in progressive politics or do you currently work for a government body? Or, if you freelance, do you have some clients that work in progressive politics?

The second criteria was satisfied if the respondents answered “Yes” to one or more of the following questions:

• Is the primary focus (>40% of resources) of your organization data, analytics, or technology?
• Is the primary focus (>40% of resources) of your team data, analytics, or technology?
• Is the primary focus (>40% of time) of your role data, analytics or technology?

Author and Thanks